# -*- coding: utf-8 -*-
from datetime import timedelta
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator

from jms.dm.dm_terminal_sign_punctuality_rate_dt import jms_dm__dm_terminal_sign_punctuality_rate_dt
from jms.dm.dm_waybill_collect_intime_taking_agg import jms_dm__dm_waybill_collect_intime_taking_agg
from jms.dm.dm_waybill_customer_complaint_version2.complaint_0600.dm_waybill_customer_complaint_detail_new_dt import jms_dm__dm_waybill_customer_complaint_detail_new_dt


jms_dm__dm_robot_merge_kpi_network_sum_dt = SparkSqlOperator(
    task_id='jms_dm__dm_robot_merge_kpi_network_sum_dt',
    task_concurrency=1,
    pool_slots=1,
    master='yarn',
    sla=timedelta(hours=7),
    retries=2,
    execution_timeout=timedelta(hours=3),
    email=['jimmyk.ji@jtexpress.com','yl_bigdata@yl-scm.com'],
    name='jms_dm__dm_robot_merge_kpi_network_sum_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dm/dm_robot_merge_kpi_network_sum_dt/execute.hql',
    driver_memory='8G',
    driver_cores=4,
    executor_cores=4,
    executor_memory='8G',
    num_executors=10,
    conf={
        'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
        'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        #'spark.dynamicAllocation.maxExecutors': 100,  # 动态资源最大扩容 Executor 数
          'spark.dynamicAllocation.maxExecutors': 27,  # 动态资源最大扩容 Executor 数
        'spark.dynamicAllocation.cachedExecutorIdleTimeout': 120,  # 动态资源自动释放闲置 Executor 的超时时间(s)
        'spark.executor.memoryOverhead': '2G',  # 堆外内存
        'spark.hadoop.hive.exec.dynamic.partition.mode': 'nonstrict', # 动态分区
        'spark.hadoop.hive.exec.dynamic.partition': 'true',
        'spark.yarn.maxAppAttempts':1,
        'spark.sql.shuffle.partitions': 1200
    },
    yarn_queue='pro',
)

jms_dm__dm_robot_merge_kpi_network_sum_dt << [
jms_dm__dm_terminal_sign_punctuality_rate_dt,
jms_dm__dm_waybill_collect_intime_taking_agg,
jms_dm__dm_waybill_customer_complaint_detail_new_dt
]
 